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Strong brand, metro location, popular AI role, and broad LLM/agent skillset increase candidate competition.
Skills are transferable across industries but require specialized LLM/agent experience, so fit sensitivity is moderate.
Explicit 2–4 year requirement plus mandatory LLM inference and agent framework experience raises screening strictness.
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Develop and evolve Flutter's enterprise AI assistant and multi-agent platforms integrating with internal applications and workflows.
Implement LLM inference and integration using platforms like LiteLLM and AWS Bedrock, ensuring scalable and cost-efficient AI applications.
Design and deliver full-stack AI solutions including context engineering, security frameworks, and agentic AI development to enhance productivity across Flutter's global operations.
Bachelor's degree in computer science, AI, or related STEM field.
2–4 years of hands-on AI/ML or software development experience.
Proficiency in Python with experience in frameworks such as FastAPI or Flask and async programming.
Practical experience with LLM inference platforms (AWS Bedrock and/or LiteLLM) including model routing and API integration.
Experienced in designing and deploying advanced AI agent architectures using frameworks like LangChain, LangGraph, Strands, or ADK with orchestration skills.
Strong understanding of AI model tokenomics, context engineering (retrieval-augmented generation), and guardrail/safety systems compliant with regulated environments.
Capable of full-stack development involving backend, AI integration, and optionally frontend (React, TypeScript), with a security-first mindset embracing AI-augmented coding tools.